DEVELOPMENT... OpenML
Run
147985

Run 147985

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 03-02-2015 by Felicia West
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Flow

weka.Dagging_DecisionStump(2)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9871
Per class
F measure
0.9608
Per class
Kappa
0.9031
KB relative information score
79.6273
Mean absolute error
0.0879
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9652
Per class
Predictive accuracy
0.96
Prior entropy
0.8479
Recall
0.96
Per class
Relative absolute error
0.2219
Root mean prior squared error
0.444
Root mean squared error
0.1803
Root relative squared error
0.406
SciMark benchmark
901.0726
UserCPU time millis
10
UserCPU time millis training
10